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公开(公告)号：US11354935B2
公开(公告)日：2022-06-07
申请号：US16810061
申请日：2020-03-05
Applicant: NEC Laboratories America, Inc.
Inventor： Biplob Debnath , Erik Kruus , Murugan Sankaradas , Srimat Chakradhar
Abstract: A computer-implemented method for emulating an object recognizer includes receiving testing image data, and emulating, by employing a first object recognizer, a second object recognizer. Emulating the second object recognizer includes using the first object recognizer to perform object recognition on a testing object from the testing image data to generate data, the data including a feature representation for the testing object, and classifying the testing object based on the feature representation and a machine learning model configured to predict whether the testing object would be recognized by a second object recognizer. The method further includes triggering an action to be performed based on the classification.
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公开(公告)号：US20220156484A1
公开(公告)日：2022-05-19
申请号：US17526492
申请日：2021-11-15
Applicant: NEC Laboratories America, Inc.
Inventor： Biplob Debnath , Srimat Chakradhar , Giuseppe Coviello , Yi Yang
Abstract: Methods and systems for face clustering include determining a quality score for each of a set of input images. A first subset of the input images is clustered, having respective quality scores that exceed a predetermined threshold, to form an initial set of clusters. A second subset of the input images is clustered, having respective quality scores below the predetermined threshold. An action is performed responsive to the clustered images after the second subset is added to the initial set of clusters.
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公开(公告)号：US20210378520A1
公开(公告)日：2021-12-09
申请号：US17325613
申请日：2021-05-20
Applicant: NEC Laboratories America, Inc.
Inventor： Kunal Rao , Giuseppe Coviello , Min Feng , Biplob Debnath , Wang-pin Hsiung , Murugan Sankaradas , Srimat Chakradhar , Yi Yang , Oliver Po , Utsav Drolia
Abstract: A method for free flow fever screening is presented. The method includes capturing a plurality of frames from thermal data streams and visual data streams related to a same scene to define thermal data frames and visual data frames, detecting and tracking a plurality of individuals moving in a free-flow setting within the visual data frames, and generating a tracking identification for each individual of the plurality of individuals present in a field-of-view of the one or more cameras across several frames of the plurality of frames. The method further includes fusing the thermal data frames and the visual data frames, measuring, by a fever-screener, a temperature of each individual of the plurality of individuals within and across the plurality of frames derived from the thermal data streams and the visual data streams, and generating a notification when a temperature of an individual exceeds a predetermined threshold temperature.
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公开(公告)号：US20210312773A1
公开(公告)日：2021-10-07
申请号：US17197403
申请日：2021-03-10
Applicant: NEC Laboratories America, Inc.
Inventor： Biplob Debnath , Srimat Chakradhar , M. Ashraf Siddiquee
IPC: G08B13/196 , G06K9/00 , G06F16/783 , G06F16/78 , G08B23/00
Abstract: Methods and systems for detecting and predicting anomalies include processing frames of a video stream to determine values of a feature corresponding to each frame. A feature time series is generated that corresponds to values of the identified feature over time. A matrix profile is generated that identifies similarities of sub-sequences of the time series to other sub-sequences of the feature time series. An anomaly is detected by determining that a value of the matrix profile exceeds a threshold value. An automatic action is performed responsive to the detected anomaly.
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公开(公告)号：US20210279471A1
公开(公告)日：2021-09-09
申请号：US17188194
申请日：2021-03-01
Applicant: NEC Laboratories America, Inc.
Inventor： Yi Yang , Biplob Debnath , Giuseppe Coviello , Oliver Po , Srimat Chakradhar , Yang Gao
Abstract: A computer-implemented method executed by at least one processor for detecting tattoos on a human body is presented. The method includes inputting a plurality of images into a tattoo detector, selecting one or more images of the plurality of images including tattoos, extracting, via a feature extractor, tattoo feature vectors from the tattoos found in the one or more images of the plurality of images including tattoos, applying a deep learning tattoo matching model to determine potential matches between the tattoo feature vectors and preexisting tattoo images stored in a tattoo training database, and generating a similarity score between the tattoo feature vectors and one or more of the preexisting tattoo images stored in the tattoo training database.
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Patent Agency Ranking
公开(公告)号：US10990616B2
公开(公告)日：2021-04-27
申请号：US15351452
申请日：2016-11-15
Applicant: NEC Laboratories America, Inc.
Inventor： Biplob Debnath , Jianwu Xu , Hui Zhang , Guofei Jiang , Hossein Hamooni
Abstract: Systems and methods are disclosed for parsing logs from arbitrary or unknown systems or applications by capturing heterogeneous logs from the arbitrary or unknown systems or applications; generating one pattern for every unique log message; building a pattern hierarchy tree by grouping patterns based on similarity metrics, and for every group it generates one pattern by combing all constituting patterns of that group; and selecting a set of patterns from the pattern hierarchy tree.
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公开(公告)号：US10929763B2
公开(公告)日：2021-02-23
申请号：US15684293
申请日：2017-08-23
Applicant: NEC Laboratories America, Inc.
Inventor： Jianwu Xu , Biplob Debnath , Bo Zong , Hui Zhang , Guofei Jiang , Hancheng Ge
Abstract: A heterogeneous log pattern editing recommendation system and computer-implemented method are provided. The system has a processor configured to identify, from heterogeneous logs, patterns including variable fields and constant fields. The processor is also configured to extract a category feature, a cardinality feature, and a before-after n-gram feature by tokenizing the variable fields in the identified patterns. The processor is additionally configured to generate target similarity scores between target fields to be potentially edited and other fields from among the variable fields in the heterogeneous logs using pattern editing operations based on the extracted category feature, the extracted cardinality feature, and the extracted before-after n-gram feature. The processor is further configured to recommend, to a user, log pattern edits for at least one of the target fields based on the target similarity scores between the target fields in the heterogeneous logs.
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公开(公告)号：US20200293758A1
公开(公告)日：2020-09-17
申请号：US16810061
申请日：2020-03-05
Applicant: NEC Laboratories America, Inc.
Inventor： Biplob Debnath , Erik Kruus , Murugan Sankaradas , Srimat Chakradhar
Abstract: A computer-implemented method for emulating an object recognizer includes receiving testing image data, and emulating, by employing a first object recognizer, a second object recognizer. Emulating the second object recognizer includes using the first object recognizer to perform object recognition on a testing object from the testing image data to generate data, the data including a feature representation for the testing object, and classifying the testing object based on the feature representation and a machine learning model configured to predict whether the testing object would be recognized by a second object recognizer. The method further includes triggering an action to be performed based on the classification.
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公开(公告)号：US20200050899A1
公开(公告)日：2020-02-13
申请号：US16522711
申请日：2019-07-26
Applicant: NEC Laboratories America, Inc.
Inventor： Biplob Debnath , Debayan Deb , Srimat Chakradhar
Abstract: A method is provided for classifying objects. The method detects objects in one or more images. The method tags each object with multiple features. Each feature describes a specific object attribute and has a range of values to assist with a determination of an overall quality of the one or more images. The method specifies a set of training examples by classifying the overall quality of at least some of the objects as being of an acceptable quality or an unacceptable quality, based on a user's domain knowledge about an application program that takes the objects as inputs. The method constructs a plurality of first-level classifiers using the set of training examples. The method constructs a second-level classifier from outputs of the first-level automatic classifiers. The second-level classifier is for providing a classification for at least some of the objects of either the acceptable quality or the unacceptable quality.
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公开(公告)号：US10409669B2
公开(公告)日：2019-09-10
申请号：US15810960
申请日：2017-11-13
Applicant: NEC Laboratories America, Inc.
Inventor： Bo Zong , LuAn Tang , Qi Song , Biplob Debnath , Hui Zhang , Guofei Jiang
Abstract: A method is provided that includes transforming training data into a neural network based learning model using a set of temporal graphs derived from the training data. The method includes performing model learning on the learning model by automatically adjusting learning model parameters based on the set of the temporal graphs to minimize differences between a predetermined ground-truth ranking list and a learning model output ranking list. The method includes transforming testing data into a neural network based inference model using another set of temporal graphs derived from the testing data. The method includes performing model inference by applying the inference and learning models to test data to extract context features for alerts in the test data and calculate a ranking list for the alerts based on the extracted context features. Top-ranked alerts are identified as critical alerts. Each alert represents an anomaly in the test data.
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